Stanford study says AI is mostly taking entry-level jobs

A new paper from a trio of Stanford University researchers found that early-career workers between 22 and 25 who are in AI-exposed jobs have seen fewer jobs and more unemployment.

A previous report from Gizmodo supports this, with Ford CEO Jim Farley claiming that AI could replace half of the white-collar jobs in the U.S. However, all of the previous reports were based on gut feelings or internal data from one company at a time. Now, with the Stanford study, there is proof that AI is slowly replacing young workers.

The study showed a notable drop in software development jobs after 2022, when AI tools began ramping up. However, this appears to mostly impact entry-level workers, with older, more experienced people largely being unaffected by this first wave of AI adoption.

However, this presents another problem. It leaves us with a generation of people who won’t get jobs and won’t grow into more valuable, experienced workers. Ideally, most workplaces will shift to more of an AI augmentation model where people use AI tools rather than being entirely replaced by the software.

Source: Stanford Digital Economy Lab Via: Gizmodo